What United Airlines Should Do With Their Online Advertising

November 5th, 2009

They say there’s a fine line between clever and stupid.  I’ll let you be the judge on this next exploration of what we could do to make United Airlines’ current winter promotion perform better.  We have some other brands up our sleeve for future episodes :)

There’s more to this than just a playful jab, however.  I’m actually a United frequent flyer (about to make 1K this year!) and get served these ads constantly.  I know they’re doing some heavy retargeting.  Just, the messages they’re choosing have absolutely nothing to do with me, or the user profile they clearly have of me.

Here’s the thing: half the time I see their ads its for something irrelevant that I already get for free as a frequent flyer: “Opt for Extra Legroom with Economy Plus” — yes, I get that for free and so does everybody else with the profile you’ve identified me with when I log in.  How about instead of that messaging, you remind me when prices drop, go up, or seats are running out on that flight I searched for today.  Or how much I could pay to get upgraded to First on my next flight I already booked…

I know what you’re thinking — you’re such a small subset of their audience, Paul, they are targeting a much broader set.  Really though? The set that I’m a part of likely makes up 80% of their profits, yet they’re mass marketing to the set that gives them 20%.  The moral here is that dynamic messaging, and proper intent derivation allows you to tailor messages (offers!) to the audiences that are most likely to respond to them.  And the ad in the video isn’t that hard to do…

pknegten Behavioral Advertising, Dynamic Ads

Podcast Episode 5: Matthew Roche (fmr CEO, Offermatica)

November 4th, 2009

Episode 5 of Advertising Sucks (and the People Who Fix It) is now live, with special guest and dear Dapper friend Matthew Roche, who founded Offermatica, a leading campaign optimization and analytics platform, and sold it to Omniture in 2007.

He provides some really interesting insight toward using analytics in marketing campaigns and where the data stops and the real marketing begins.  He also provides his slant on the whole privacy debate.  Listen in!

Listen to it here

(no iTunes or don’t want to listen to it there? Here.)

pknegten Podcast

Another Dapper Campaign: Prudential Real Estate

November 3rd, 2009

Over the summer we did an exciting campaign with Prudential Real Estate (read about it here, here, and here) that targeted two audiences, primarily.

1) Home buyers

2) Home renters

For each group, we looked at what kinds of properties they were browsing across the web, including sites like ApartmentFinder.com, Realtor.com, Truila, and others.  For the buyers, we found comparable properties from PrudentialRealEstate.com  in their target location and price range, as per the screen shot below.

For the renters, we looked at the target location and rent range, and then back-calculated that figure into a comparable monthly mortgage.  Then, properties were searched on PrudentialRealEstate.com that matched those parameters and served up in the ad.

pknegten Dapper Campaigns

Michael’s Right. But Offers Shouldn’t = SPAM

November 2nd, 2009

There’s a lot of hullabaloo around the somewhat nefarious practices social gaming platforms use to generate the huge revenue numbers some of them boast.

Michael Arrington of TechCrunch has led this exposé, and I have to agree with him that mainstream media has somewhat missed it in lauding these hyper-growth companies with acclaim before digging a little deeper into how they’re achieving this success.

I actually take issue less with how these offers trick people — since half the web shows us ads like this — but more with the fact that they’re really, really irrelevant offers.  And, that with all the rich data social networks collect about what we actually might like, there’s a giant opportunity missed here for both consumers and advertisers alike to derive far more value.  I recently wrote in Mediapost about how social media ads could leverage these data to not suck as much, and there’s really no reason why social gaming platforms can’t show us offers that have something to do with our preferences.  I suspect Facebook & MySpace are closely guarding a lot of these data, so that’s part of the problem, but there needs to be some evolution of advertisers to being integrating what data they do have access to about users because this ’spray and pray’ (or more aptly, spray and prey) approach is not sustainable.

I’m all for offers to people playing free games.  And offers that might cost them a lot of money.  But folks, let’s make them offers that we don’t need to trick them into buying…we’re not that far off from this.

I’ll leave you with an anecdote: I recently bought 2 tickets to DEVO from Livenation because I saw an ad on Facebook that they’re coming to New York and playing their whole “Are We Not Men…” and “Freedom Of Choice” albums.  Brilliant!  That ad taught me something I didn’t know, and that I cared about, all because it was able to match up my preferences with a relevant offer.

pknegten General

1-2-3 Punch of Display Advertising

October 29th, 2009

Reprinted from Eran and my commentary on the 3 major innovations driving Display advertising in Mediapost today:

Let’s boil this display beast down to a 1-2-3. For most of us, it can’t compare to our search campaigns, so you should know how to take advantage of three emerging technology trends that are changing the Display vs. Search battle for a lot of marketers.

First Punch: Real-Time Bidding and Ad Exchanges
Used to be we looked at a spreadsheet to plan our media buys. As we got more data about our audience and the potential outlets to reach them, the spreadsheets grew. Ad networks added more variables for us to play with. Soon, we started looking like tired day traders, and we still weren’t making major improvements in Display ROI. Enter automated, real-time bidding and giant ad exchanges that optimize media buys across literally millions of Web sites, making sure you buy only the impressions that are achieving your marketing goals. Call this the Wall Street meets Madison Avenue with Google AdX, Right Media, Microsoft AdECN, OpenX, and AdBrite all adopting real-time bidding, and a new set of companies such as MediaMath and RocketFuel building hedge fund like trading platforms for high-fidelity media buying in real-time.

Second Punch: Advanced User Intent Determination
The FTC has us all abuzz about behavioral intent targeting. But let’s not forget that aside from behavioral, there are a bunch of downright game-changing user intent-gathering techniques: advanced geo-targeting, semantic targeting (understanding what keywords mean, rather than just extracting keywords), weather targeting, and even good ol’ context. Search is successful partly because it has this intent determination thing down pat, and it has taken some time for Display to catch up. Using some or all of these techniques in our ad campaigns makes the difference. But to make these data work for us, we won’t get very far without…

Third Punch: Intelligent Dynamic Ads
This is the secret ingredient that allows us to plug in the pipe of user intent data to do something scalable for us. There are just too many variables among peoples’ locations, behavior, and interests to expect to resonate with our audience with just one creative message. There has to be real-time switching of the offer, product, or message that we show to our potential customers. The guy in snowy Denver reading about ski poles probably won’t respond well to the snorkeling gear your sporting goods store offers, but you’ll get his attention with your blowout on ski poles.

Score a TKO
The trick is to take all three of these strategies together for a holistic knockout campaign. Buy only the right impressions one-by-one with real-time bidding on ad exchanges (tip: don’t spread out your bids across multiple vendors or you’ll bid against yourself!), figure out the intent of each potential customer, and then tailor a specific message to each of them. The real key is finding a vendor that can combine all three of these things –real-time bidding, for instance, becomes much more efficient if you already know the user intent behind the impressions you’re bidding on. Likewise, you’d be hard-pressed to bid on audiences reading about ski poles if you just ran out of that product and can’t show it in your ad. It’s the new feedback loop of online marketing, and in the right hands, it has the ability to finally make our Display campaigns perform as well as Search.

pknegten Press

What is User Intent? (in 30 Seconds)

October 28th, 2009

Video #2 in the series! Hope you like it:

Click Here for the High Quality SlideShare Version

pknegten General

Podcast Episode 4: Brian Massey (ClickZ, Conversion Scientist)

October 20th, 2009

Our fourth episode of Advertising Sucks (and the People Who Fix It) where I interview Brian Massey, both of ClickZ and his own company, the Conversion Scientist.

He recently wrote a great overview of how innovation is driving display advertising in a 2 part series, “Evolving Toward Targeted Display Advertising.” I asked him to delve deeper and share what he’s learned in researching this series, as well as asking him for some concrete tips for marketers looking to improve their ad (and website) strategy.  Good times!

Listen to it here

(no iTunes or don’t want to listen to it there? Here.)

pknegten Podcast

WTF is Real-Time Bidding? (in 30 seconds!)

October 15th, 2009

In the coming weeks we’ll be exploring the three major drivers that we feel are driving innovation in Display advertising.

1. Real-Time Bidding
2. More advanced user intent techniques
3. Dynamic Ads

So to start, here’s a good overview of what Real-Time Bidding is and what it’s doing for Display! In 30 seconds:

Click Here for the High Quality SlideShare Version

pknegten General

Another Dapper Campaign: Reelz Channel

October 8th, 2009


(for RSS readers without Flash support, click through to the article to see the flash ad)

We did this campaign last month for Haworth Media / Reelz Channel, taking content from their site (previews to over 10,000 movie trailers, interviews, etc.) and showing the right one in the ad based on a weighted average of performance, context, semantics, and behavior.  We were able to catch the engine at work in a particularly cool semantic matching instance on Access Hollywood:

Note that the inventory was sourced through our ad exchange partners and each impression was scanned in real time for these types of semantic (and other) cues.

pknegten Dapper Campaigns, Dynamic Ads, Semantic Web

Podcast Episode 3: Peter Kim (Yahoo! SmartAds)

October 5th, 2009

Our third episode of Advertising Sucks (and the People Who Fix It) where I interview Peter Kim of Yahoo! SmartAds.

As a competitor, I gotta say Yahoo! SmartAds is the program to watch — Yahoo! collects so much great data, and now finally they have a platform for integrating these data into dynamic ads.  Definitely the way we at Dapper see the world, and I was thrilled to geek it up with Peter a few weeks ago.  Enjoy!

Listen to it here

(no iTunes or don’t want to listen to it there? Here.)

pknegten Podcast